Course Code: nlpcolab
Duration: 14 hours
Prerequisites:
  • Basic understanding of natural language processing concepts
  • Familiarity with Python programming
  • Experience with Jupyter Notebooks or similar environments

Audience

  • Data scientists
  • Developers with experience in Python
  • AI enthusiasts
Overview:

Natural Language Processing (NLP) is a key area in AI, focusing on the interaction between computers and human language. This course will introduce participants to NLP techniques using Google Colab, covering important concepts like text preprocessing, sentiment analysis, and the application of popular libraries like NLTK and SpaCy for practical tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

By the end of this training, participants will be able to:

  • Understand the core concepts of natural language processing.
  • Preprocess and clean text data for NLP tasks.
  • Perform sentiment analysis using NLTK and SpaCy libraries.
  • Work with text data using Google Colab for scalable and collaborative development.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to NLP

  • What is Natural Language Processing?
  • Importance of NLP in modern AI applications
  • Popular libraries for NLP: NLTK, SpaCy, Hugging Face

Text Preprocessing Techniques

  • Tokenization and stop words removal
  • Stemming and lemmatization
  • Text normalization techniques

Sentiment Analysis

  • Introduction to sentiment analysis
  • Performing sentiment analysis with NLTK
  • Using SpaCy for advanced sentiment analysis

Advanced NLP Techniques

  • Named entity recognition (NER)
  • Text classification
  • Language modeling with pre-trained models

Working with Google Colab

  • Introduction to Google Colab environment
  • Setting up and managing NLP projects in Colab
  • Collaborating on NLP tasks in Colab

Real-World Applications of NLP

  • NLP in healthcare, finance, and customer support
  • Using NLP for chatbots and virtual assistants
  • Future trends in NLP research

Summary and Next Steps

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